Design and optimization of LNA topologies with image rejection filters

An important problem in designing RFIC in CMOS technology is the parasitic elements of passive and active devices that complicate design calculations. This article presents three LNA topologies including cascode, folded cascade, and differential cascode and then introduces image rejection filters for low-side and high-side injection. Then, a new method for design and optimization of the circuits based on a Pareto-based multiobjective genetic algorithm is proposed. A set of optimum device values and dimensions that best match design specifications are obtained. The optimization method is layout aware, parasitic aware, and simulation based. Circuit simulations are carried out based on TSMC 0.18 um CMOS technology by using Hspice.

Event effectiveness : analysing the perceptions of key stakeholders of the Lexmark Indy 300/champ car event, Gold Coast.

The present study assessed the perceptions of the Lexmark Indy 300/Champ Car Event’s key stakeholders namely, spectators, volunteers and paid workers, as part of an evaluation tool for its managers. We developed a model, which included visible, interaction and management elements that we proposed influenced the perceptions and experiences of stakeholders relating to the event effectiveness, strengths, weaknesses and improvements. Specifically, we used a modified version of Preble’s (2005) six-step multi-stakeholder assessment approach to examining the perceived overall effectiveness of the event. Fifty stakeholder interviews were conducted on-site and their opinions were content analysed. The key findings of the study were that the majority of the stakeholders perceived the event to be effective. Spectators perceived the strengths to be interaction components, and weaknesses and improvements to be visible elements such as track layout. Volunteers perceived strengths to be management related, but also noted that these were weaknesses and needed improvement. Lastly, Paid workers perceived interaction elements to be both strengths and weaknesses, and suggested that management elements could be improved. Important implications for similar motoring events were suggested.

Distraction and interaction in academic workspaces

This research investigated workspace satisfaction for academics and compared this with published results from commercial workers. Results show that academics are not satisfied with their workspace, and indicate that academics require different types of workspaces to commercial workers.

A controlled analysis of professionals' contemporaneous notes of interviews about alleged child abuse

Objective : The current study investigated (under optimal conditions) the accuracy and completeness of professionals’ contemporaneous written notes of child abuse interviews.
Method : Participants included 107 experienced child abuse investigators who were all trained to adhere to best-practice interview guidelines and who routinely took notes as records of interviews. The interviews documented for this study were read live for 15 min duration, and at a pace of 2.2 words (on average)/s. The professionals’ notes of the interviews were analyzed for completeness and accuracy. Key outcome measures were the prevalence and discernability of the questions (i.e., whether the structure of questions was recorded accurately) as well as the child responses.
Results : Despite the omission of 39% of abuse-related details, recording of content details was clearly prioritized over interviewer questions. This was revealed irrespective of the measure of note taking quality or the quality of the interview being recorded. Of the various layout styles employed, scrutiny of interviewer questions was maximized by: (a) using symbols or spacing to delineate questions and responses, (b) capturing the first two words of a question, and (c) using abbreviations.
Conclusions : Although note taking could potentially improve with further research, training and instruction, this form of documentation does not provide full scrutiny of the interview process, even under optimal conditions.
Practice implications : Electronic recording is strongly recommended for all interviews, especially considering global concerns about interviewers’ adherence to best-practice interview guidelines. If notes continue to be used as a record of interview, further research and training are urgently warranted to improve note taking competency.

“… what lies behind a brownstone front”

After entering the nondescript door to her building, ordinary Oliver Reed follows Irena Dubrovna as she ascends the ornate stairs that lead to her front door. He hovers at the foot of the stairs, and rhetorically admits: “I never cease to marvel at what lies behind a brownstone front.” Behind each façade lies something hidden. What lies hidden from Oliver Reed in Cat People (1942) are the dormant stories waiting behind each door. This article is based on my presentation at the 2009 Double Dialogues Conference, Hidden Stories, held in Melbourne, December 2009. In the Conference presentation, the early scenes from Cat People were screened with the film sound interspersed with my commentary. This article uses still frames from the film, descriptions from the original screenplay (in courier font) and the storyboard layout for a DVD commentary.

Kaleidoscope configurations for reflectance measurement

Simulations of different configurations of the symmetrical tapered kaleidoscope are performed to assess their merits for measurement of BRDFs and BTFs. The relationship between optimal kaleidoscope layout, and factors such as hardware restrictions and the resolution of the required reflectance function, is derived. The effect on the measurement of the reflectance function of changing these independent variables is examined through the simulation. These experiments highlight issues affecting the measurement of BTFs using kaleidoscopes, and suggest configurations that allow sampling at regular parameter intervals. A number of other kaleidoscope architectures are explored, which offer the benefits of potentially doubling the range of directions that can be sampled, and allowing adaptive control of sample intervals.

Improving the quality of professionals’ contemporaneous notes taken during interviews about alleged child abuse

The current study explored the effectiveness of note-taking instructions to increase the completeness and accuracy of professionals’ contemporaneous written notes of child abuse interviews. Police members had their base-line note-taking assessed before receiving brief instructions focusing on layout style, abbreviations, and question codes. Participants’ note-taking was reassessed immediately post-instruction and again at follow-up, 4 weeks later. Instructions increased the number of questions that participants recorded and the information that they recorded about question structure. These increases in question information did not occur at the expense of witness response information. Instructions encouraged participants to use more abbreviations and question codes and to use a clearer layout style to differentiate questions and responses. Instructing professionals in simple note-taking strategies immediately increased the completeness and accuracy of their notes. However, electronic recordings remain the most effective method of ensuring complete and accurate interview notes.

Tomorrow’s car – for today’s people : can tilting three wheeled vehicles be a solution for the problems of today and the future?

The current automotive industry and todays car drivers are faced with every increasing challenges, not previously experienced. Climate Change, financial issues, rising fuel prices, increased traffic congestion and reduced parking space in cities are all leading to changes in consumer preferences and the requirements of modern passenger vehicles. However, despite the shift in the industry dynamics, the principal layout of a car hasn’t changed since its invention. The design of a ’conventional’ vehicle is still principally a matchbox with four wheels, one at each corner. The concept has served its purpose well for over 100 years, but such a layout is not suited to solving today’s problems. To address the range of problems faced by the industry, a number of alternative commuting vehicles have been developed. Yet the commercialization of these ‘alternative’ vehicles has yet to be successful. This is largely due failure of these vehicles to meet the changing demands of the industry and the limited understanding of consumer behaviour, motivation and attitudes. Deakin University’s Tomorrow’s Car concept tackles all of these problems. The vehicle is a novel three-wheeler cross over concept between a car and a motorbike that combines the best of both worlds. The vehicle combines the low cost, small size and ‘fun’ factor of a motorbike together with the safety, comfort and easy to drive features of a car produce a vehicle with a fuel efficiency better than either car or scooter. Intensive market research has been conducted for various major potential markets of alternative vehicles including India, China and Australia. The research analysed consumer attitudes in relation to narrow tilting vehicles, and in particular towards Deakin’s Tomorrow’s Car (TC). The study revealed that a relatively large percentage of consumers find such a concept very appealing. For the other consumers, the overall appearance and perception of safety and not the actual safety performance were found to be the most impeding factors of such vehicles. By addressing these issues and marketing the vehicle accordingly the successful commercialization of Tomorrow’s Car can be ensured.

Comparative effectiveness report : online survey tools

Purpose. A group of Australian researchers seeking an accessible online survey tool discovered to their concern that most commercially available survey tools are not actually ‘useable’ by a significant number of assistive technology users.
Method. Comparative effectiveness analysis of 11 popular survey tools. A bespoke survey tool was subsequently created to meet all accessibility guidelines and useability criteria as determined by the wide range of assistive technology users with whom the research team was working.
Results. Many survey tools claim accessibility status but this does not reflect the actual situation. Only one survey met all compliance points; however, it was limited by inflexible layout and few options for question types; some surveys proved unusable by screen reader. All surveys reviewed represented a compromise between accessibility and breadth of functionality.
Conclusion. It would appear the voices of a proportion of people living with disability are absent from the data collected by surveys, and that current accessibility guidelines, even where implemented, still fall short of assuring useable survey tools. This article describes one online solution created to successfully survey a broad population, and outlines a design approach to encompass user diversity.

Students' construction of a virtual museum for multimodal meaning-making : the case of a pilot intervention

This paper evaluates a pilot design research intervention of 12-13 year old Secondary (Middle) students in Singapore constructing a virtual museum within an English Language (EL) curriculum which seeks to engage students through the infusion of authentic, rich multimodal stimuli. 78 students from two classes designed the layout of museum galleries based on their chosen themes, sourced and created multimodal artifacts , and presented their proposals and galleries to an imagined external audience and their peers. The research design and methodology, processes and factors driving the design and implementation of the project are described. Feedback from teachers and students on the benefits and limitations of the study are elicited through semi-constructed interviews, surveys and questionnaire forms. Recommendations to overcome problems identified are proposed.

Layered dynamic probabilistic networks for spatio-temporal modelling

In applications such as tracking and surveillance in large spatial environments, there is a need for representing dynamic and noisy data and at the same time dealing with them at different levels of detail. In the spatial domain, there has been work dealing with these two issues separately, however, there is no existing common framework for dealing with both of them. In this paper, we propose a new representation framework called the Layered Dynamic Probabilistic Network (LDPN), a special type of Dynamic Probabilistic Network (DPN), capable of handling uncertainty and representing spatial data at various levels of detail. The framework is thus particularly suited to applications in wide-area environments which are characterised by large region size, complex spatial layout and multiple sensors/cameras. For example, a building has three levels: entry/exit to the building, entry/exit between rooms and moving within rooms. To avoid the problem of a relatively large state space associated with a large spatial environment, the LDPN explicitly encodes the hierarchy of connected spatial locations, making it scalable to the size of the environment being modelled. There are three main advantages of the LDPN. First, the reduction in state space makes it suitable for dealing with wide area surveillance involving multiple sensors. Second, it offers a hierarchy of intervals for indexing temporal data. Lastly, the explicit representation of intermediate sub-goals allows for the extension of the framework to easily represent group interactions by allowing coupling between sub-goal layers of different individuals or objects. We describe an adaptation of the likelihood sampling inference scheme for the LDPN, and illustrate its use in a hypothetical surveillance scenario.

Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model.

In this paper, we consider the problem of tracking an object and predicting the object's future trajectory in a wide-area environment, with complex spatial layout and the use of multiple sensors/cameras. To solve this problem, there is a need for representing the dynamic and noisy data in the tracking tasks, and dealing with them at different levels of detail. We employ the Abstract Hidden Markov Models (AHMM), an extension of the well-known Hidden Markov Model (HMM) and a special type of Dynamic Probabilistic Network (DPN), as our underlying representation framework. The AHMM allows us to explicitly encode the hierarchy of connected spatial locations, making it scalable to the size of the environment being modeled. We describe an application for tracking human movement in an office-like spatial layout where the AHMM is used to track and predict the evolution of object trajectories at different levels of detail.

Improved fade and dissolve detection for reliable video segmentation

We present improved algorithms for automatic fade and dissolve detection in digital video analysis. We devise new two-step algorithms for fade and dissolve detection and introduce a method for eliminating false positives from a list of detected candidate transitions. In our detailed study of these gradual shot transitions, our objective has been to accurately classify the type of transitions (fade-in, fade-out, and dissolve) and to precisely locate the boundary of the transitions. This distinguishes our work from early work in scene change detection which focuses on identifying the existence of a transition rather than its precise temporal extent. We evaluate our algorithms against two other commonly used methods on a comprehensive data set, and demonstrate the improved performance due to our enhancements.

On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes

In this paper we discuss combining incremental learning and incremental recognition to classify patterns consisting of multiple objects, each represented by multiple spatio-temporal features. Importantly the technique allows for ambiguity in terms of the positions of the start and finish of the pattern. This involves a progressive classification which considers the data at each time instance in the query and thus provides a probable answer before all the query information becomes available. We present two methods that combine incremental learning and incremental recognition: a time instance method and an overall best match method.

Low-cost interactive active monocular range finder

This paper describes a low-cost interactive active monocular range finder and illustrates the effect of introducing interactivity to the range acquisition process. The range finder consists of only one camera and a laser pointer, to which three LEDs are attached. When a user scans the laser along surfaces of objects, the camera captures the image of spots (one from the laser, and the others from LEDs), and triangulation is carried out using the camera's viewing direction and the optical axis of the laser. The user interaction allows the range finder to acquire range data in which the sampling rate varies across the object depending on the underlying surface structures. Moreover, the processes of separating objects from the background and/or finding parts in the object can be achieved using the operator's knowledge of the objects.